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    Redundant Manipulator Kinematics and Dynamics on Differentiable Manifolds

    Source: Journal of Computational and Nonlinear Dynamics:;2022:;volume( 017 ):;issue: 011::page 111008
    Author:
    Haug, Edward J.;Peidro, Adrian
    DOI: 10.1115/1.4055313
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A recently published treatment of nonredundant manipulator kinematics and dynamics on differentiable manifolds is extended to kinematically redundant manipulators. Analysis at the configuration level shows that forward kinematics and dynamics of redundant manipulators are identical to that for nonredundant manipulators. The manifoldbased inverse kinematics formulation that is presented for redundant manipulators, in contrast, yields parameterizations of setvalued inverse kinematic mappings at the configuration level, where sharper results are obtained than those presented in the literature using velocity formulations. Explicit expressions are derived for setvalued inverse kinematic mappings for both serial and nonserial (called compound) kinematically redundant manipulators, as functions of vectors of arbitrary parameters. Parameterizations are presented for both manipulator regular configuration manifolds and selfmotion manifolds, the latter comprised of sets of inputs that map into the same output. It is shown that kinematically redundant configuration manifolds and selfmotion differentiable manifolds are distinctly different and play complementary roles in redundant manipulator kinematics. Computational methods are presented for evaluation of setvalued inverse kinematic mappings, without problemdependent ad hoc analytical manipulations. Redundant serial and compound manipulator examples are presented to illustrate computation of setvalued inverse kinematic mappings and the use of selfmotion manifold mappings in obstacle avoidance applications. Differentiation of configuration level inverse mappings yields inverse velocity and acceleration mappings as functions of timedependent arbitrary parameters that play a central role in manipulator dynamics and control.
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      Redundant Manipulator Kinematics and Dynamics on Differentiable Manifolds

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    contributor authorHaug, Edward J.;Peidro, Adrian
    date accessioned2023-04-06T13:02:37Z
    date available2023-04-06T13:02:37Z
    date copyright9/19/2022 12:00:00 AM
    date issued2022
    identifier issn15551415
    identifier othercnd_017_11_111008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288972
    description abstractA recently published treatment of nonredundant manipulator kinematics and dynamics on differentiable manifolds is extended to kinematically redundant manipulators. Analysis at the configuration level shows that forward kinematics and dynamics of redundant manipulators are identical to that for nonredundant manipulators. The manifoldbased inverse kinematics formulation that is presented for redundant manipulators, in contrast, yields parameterizations of setvalued inverse kinematic mappings at the configuration level, where sharper results are obtained than those presented in the literature using velocity formulations. Explicit expressions are derived for setvalued inverse kinematic mappings for both serial and nonserial (called compound) kinematically redundant manipulators, as functions of vectors of arbitrary parameters. Parameterizations are presented for both manipulator regular configuration manifolds and selfmotion manifolds, the latter comprised of sets of inputs that map into the same output. It is shown that kinematically redundant configuration manifolds and selfmotion differentiable manifolds are distinctly different and play complementary roles in redundant manipulator kinematics. Computational methods are presented for evaluation of setvalued inverse kinematic mappings, without problemdependent ad hoc analytical manipulations. Redundant serial and compound manipulator examples are presented to illustrate computation of setvalued inverse kinematic mappings and the use of selfmotion manifold mappings in obstacle avoidance applications. Differentiation of configuration level inverse mappings yields inverse velocity and acceleration mappings as functions of timedependent arbitrary parameters that play a central role in manipulator dynamics and control.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRedundant Manipulator Kinematics and Dynamics on Differentiable Manifolds
    typeJournal Paper
    journal volume17
    journal issue11
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4055313
    journal fristpage111008
    journal lastpage11100815
    page15
    treeJournal of Computational and Nonlinear Dynamics:;2022:;volume( 017 ):;issue: 011
    contenttypeFulltext
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